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For my placement year I worked in the Computational Chemistry department of GSK My main responsibility was to support a project called Open PHACTS The Open Pharmacological Concepts Triple Store a collaboration between different pharmaceutical companies and academic institutions to develop an integrative platform of pharmacological data Advance in technology has dramatically increased the scale of data available for researchers but unfortunately most data is disparately organised and not easy to use Open PHACTS integrated multiple sources of public available pharmacological and physicochemical data and make it easy to query by user By improving data and knowledge management in biomedical science field this hope to reduce barrier of drug discovery and boost RD efficiency Throughout the year I have been involved in various work related to the projects eg tested Open PHACTS discovery platform analysed huge amount of data from different databases and discovered interesting scientific information etcOver the past few decades there have been major advances in many fields of science and technology for instance DNA sequencing is now over a billion times faster since the first genome was determined in 1970 another example of rapid development is the use of X-ray crystallography leading to a better understanding of chemical compounds and is now routinely used in structure-based drug design Our knowledge in biology chemistry and disease mechanism has increased substantially and this in turn helped to deliver better medicine for patients However despite phenomenal progress in translational research we are still falling short in developing medicines to address key public health needs such as Alzheimer Disease or diabetes1In recent years RD expenditures in major pharmaceuticals companies have grown at a staggering rate but the output of innovative drug New Medical Entitles is decreasing over time 1There has been growing concern on low RD efficiency as it may hinders delivery of new medicine Numerous studies have been conducted to diagnose reasons for declining RD productivity and come with up several causes but not limiting
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